Director – Data Engineering

Waylin Partners

. Design, build, and optimize data warehouses, pipelines, and ETL/ELT processes to support enterprise reporting and analytics .

Posted 5/7/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAzureBigQueryCloudETLPythonSQLTableau

About the role

Key responsibilities & impact

Design, build, and optimize data warehouses, pipelines, and ETL/ELT processes to support enterprise reporting and analytics
Translate ambiguous business questions into scalable, data-driven solutions that help leaders make informed decisions
Develop automated reporting and analytics workflows, ensuring data accuracy, consistency, and timeliness
Build and maintain dashboards and visualization tools that synthesize complex data for finance and operational leadership
Partner with finance, accounting, and operational teams across portfolio companies to understand data needs and implement effective solutions
Implement best practices for data governance, data quality, and system architecture
Support integration efforts during acquisitions, system migrations, and new tool onboarding
Designing and deploying a new cloud-based data warehouse (Snowflake, Redshift, BigQuery, etc.)
Optimizing an existing warehouse or data architecture to improve performance and reduce cost
Developing enterprise-grade dashboards (Power BI, Tableau, Looker, etc.) for monthly reporting, KPIs, and operational visibility
Automating reporting processes previously done in Excel or manual systems
Building financial and operational data models used for forecasting, profitability analysis, or executive dashboards
Supporting process improvement and system enhancement initiatives across finance, accounting, and operations
Managing ad-hoc technical projects such as API integrations, data migrations, or master data restructuring

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Engineering, Information Systems, Analytics, or a quantitative field
8+ years of experience in data engineering, analytics engineering, or related roles
Strong SQL proficiency and experience building ETL/ELT pipelines
Experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Synapse, etc.)
Experience with BI tools such as Power BI, Tableau, Looker, or similar
Proficiency in Python or another scripting language is a plus
Experience working with finance, accounting, or operational data strongly preferred
Excellent communication skills with the ability to work directly with stakeholders and translate technical concepts into business impact.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Waylin Partners Website LinkedIn All Job Openings 11 - 50 employees Founded 2022 💸 Finance 💳 Fintech 🤝 B2B Finance
Fintech
B2B Waylin Partners is a company dedicated to transforming private equity portfolio companies into data-driven organizations throughout the investment life cycle. They offer a full suite of CFO solutions, which include strategic financial planning and analysis, data analytics, technical accounting services, and performance improvement initiatives. With a focus on lean teams and execution-driven results, Waylin Partners empowers clients to achieve sustainable growth and operational excellence by providing tailored insights and support during key transitional periods. Director – Data Engineering 🔥 0 minutes ago 🇺🇸 United States – Remote ⏰ Full Time 🔴 Lead 🚰 Data Engineer Amazon Redshift Azure BigQuery Cloud ETL Python SQL Tableau Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design, build, and optimize data warehouses, pipelines, and ETL/ELT processes to support enterprise reporting and analytics
Translate ambiguous business questions into scalable, data-driven solutions that help leaders make informed decisions
Develop automated reporting and analytics workflows, ensuring data accuracy, consistency, and timeliness
Build and maintain dashboards and visualization tools that synthesize complex data for finance and operational leadership
Partner with finance, accounting, and operational teams across portfolio companies to understand data needs and implement effective solutions
Implement best practices for data governance, data quality, and system architecture
Support integration efforts during acquisitions, system migrations, and new tool onboarding
Designing and deploying a new cloud-based data warehouse (Snowflake, Redshift, BigQuery, etc.)
Optimizing an existing warehouse or data architecture to improve performance and reduce cost
Developing enterprise-grade dashboards (Power BI, Tableau, Looker, etc.) for monthly reporting, KPIs, and operational visibility
Automating reporting processes previously done in Excel or manual systems
Building financial and operational data models used for forecasting, profitability analysis, or executive dashboards
Supporting process improvement and system enhancement initiatives across finance, accounting, and operations
Managing ad-hoc technical projects such as API integrations, data migrations, or master data restructuring 🎯 Requirements
Bachelor's degree in Computer Science, Data Engineering, Information Systems, Analytics, or a quantitative field
8+ years of experience in data engineering, analytics engineering, or related roles
Strong SQL proficiency and experience building ETL/ELT pipelines
Experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Synapse, etc.)
Experience with BI tools such as Power BI, Tableau, Looker, or similar
Proficiency in Python or another scripting language is a plus
Experience working with finance, accounting, or operational data strongly preferred
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Hard Skills & Tools

data warehousingETLELTSQLPythondata modelingdata governancedata qualitydata architecturereporting automation

Soft Skills

communicationstakeholder managementproblem-solvingcollaborationprocess improvement